Literatur zur Informationserschließung

Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.

© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)

Suchergebnisse

• 1
  Rubin, V.L.: Disinformation and misinformation triangle.
  In: Journal of documentation. 75(2019) no.5, S.1013-1034.
  
  Abstract: Purpose The purpose of this paper is to treat disinformation and misinformation (intentionally deceptive and unintentionally inaccurate misleading information, respectively) as a socio-cultural technology-enabled epidemic in digital news, propagated via social media. Design/methodology/approach The proposed disinformation and misinformation triangle is a conceptual model that identifies the three minimal causal factors occurring simultaneously to facilitate the spread of the epidemic at the societal level. Findings Following the epidemiological disease triangle model, the three interacting causal factors are translated into the digital news context: the virulent pathogens are falsifications, clickbait, satirical "fakes" and other deceptive or misleading news content; the susceptible hosts are information-overloaded, time-pressed news readers lacking media literacy skills; and the conducive environments are polluted poorly regulated social media platforms that propagate and encourage the spread of various "fakes." Originality/value The three types of interventions - automation, education and regulation - are proposed as a set of holistic measures to reveal, and potentially control, predict and prevent further proliferation of the epidemic. Partial automated solutions with natural language processing, machine learning and various automated detection techniques are currently available, as exemplified here briefly. Automated solutions assist (but not replace) human judgments about whether news is truthful and credible. Information literacy efforts require further in-depth understanding of the phenomenon and interdisciplinary collaboration outside of the traditional library and information science, incorporating media studies, journalism, interpersonal psychology and communication perspectives.
  
  Inhalt: Vgl.: https://doi.org/10.1108/JD-12-2018-0209.
  
  Themenfeld: Information
  
  
• 2
  Rubin, V.L. ; Lukoianova, T.: Truth and deception at the rhetorical structure level.
  In: Journal of the Association for Information Science and Technology. 66(2015) no.5, S.905-917.
  
  Abstract: This paper furthers the development of methods to distinguish truth from deception in textual data. We use rhetorical structure theory (RST) as the analytic framework to identify systematic differences between deceptive and truthful stories in terms of their coherence and structure. A sample of 36 elicited personal stories, self-ranked as truthful or deceptive, is manually analyzed by assigning RST discourse relations among each story's constituent parts. A vector space model (VSM) assesses each story's position in multidimensional RST space with respect to its distance from truthful and deceptive centers as measures of the story's level of deception and truthfulness. Ten human judges evaluate independently whether each story is deceptive and assign their confidence levels (360 evaluations total), producing measures of the expected human ability to recognize deception. As a robustness check, a test sample of 18 truthful stories (with 180 additional evaluations) is used to determine the reliability of our RST-VSM method in determining deception. The contribution is in demonstration of the discourse structure analysis as a significant method for automated deception detection and an effective complement to lexicosemantic analysis. The potential is in developing novel discourse-based tools to alert information users to potential deception in computer-mediated texts.
  
  Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23216/abstract.
  
  
  
• 3
  Rubin, V.L.: Epistemic modality : from uncertainty to certainty in the context of information seeking as interactions with texts.
  In: Information processing and management. 46(2010) no.5, S.533-540.
  
  Abstract: This article introduces a type of uncertainty that resides in textual information and requires epistemic interpretation on the information seeker's part. Epistemic modality, as defined in linguistics and natural language processing, is a writer's estimation of the validity of propositional content in texts. It is an evaluation of chances that a certain hypothetical state of affairs is true, e.g., definitely true or possibly true. This research shifts attention from the uncertainty-certainty dichotomy to a gradient epistemic continuum of absolute, high, moderate, low certainty, and uncertainty. An analysis of a New York Times dataset showed that epistemically modalized statements are pervasive in news discourse and they occur at a significantly higher rate in editorials than in news reports. Four independent annotators were able to recognize a gradation on the continuum but individual perceptions of the boundaries between levels were highly subjective. Stricter annotation instructions and longer coder training improved intercoder agreement results. This paper offers an interdisciplinary bridge between research in linguistics, natural language processing, and information seeking with potential benefits to design and implementation of information systems for situations where large amounts of textual information are screened manually on a regular basis, for instance, by professional intelligence or business analysts.
  
  
  
• 4
  Kwasnik, B.H. ; Rubin, V.L.: Stretching conceptual structures in classifications across languages and cultures.
  In: Cataloging and classification quarterly. 37(2003) nos.1/2, S.33-47.
  
  Abstract: The authors describe the difficulties of translating classifications from a source language and culture to another language and culture. To demonstrate these problems, kinship terms and concepts from native speakers of fourteen languages were collected and analyzed to find differences between their terms and structures and those used in English. Using the representations of kinship terms in the Library of Congress Classification (LCC) and the Dewey Decimal Classification (DDC) as examples, the authors identified the source of possible lack of mapping between the domain of kinship in the fourteen languages studied and the LCC and DDC. Finally, some preliminary suggestions for how to make translated classifications more linguistically and culturally hospitable are offered.
  
  Inhalt: Beitrag eines Themenheftes "Knowledge organization and classification in international information retrieval"
  
  Anmerkung: Vgl. auch: http://catalogingandclassificationquarterly.com/
  
  Themenfeld: Multilinguale Probleme ; Klassifikationstheorie: Elemente / Struktur
  Objekt: DDC ; LCC